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SAP Data Engineer

Stockholm, Sweden💼 Full-time🗓 2026-06-30 → 2026-07-29

Core

Building and managing data models, transformations, and integrations in SAP Datasphere and SAP Business Data Cloud to connect SAP estate with Azure-based data platforms for AI and analytics.

Role type

SAP Data Engineer

Builds

Data models, integrations, and reports/dashboards connecting SAP S/4HANA data to Azure CAP for downstream analytics and AI/ML use.

Domain

Grocery retail / SAP Data Platform / Cloud Data Engineering

Deliverable

production ML models | product features | dashboards & analysis

Required skills

SAP Datasphere, SAP HANA, SAP BW, SQL, data integration, data modelling, ETL processes, CDS views, SAP Analytics Cloud

Preferred skills

SAP Business Data Cloud (BDC), Azure cloud platforms (Databricks, data lake), core SAP S/4 business processes, DevOps, agile delivery

Technologies

SAP Datasphere, SAP Business Data Cloud, SAP HANA, SAP BW, Azure, CAP, SAP Analytics Cloud, SQL

Responsibilities

Develop data models, transformations, and integrations in SAP Datasphere and SAP Business Data Cloud; Integrate and deliver SAP data into Azure CAP; Refine data from SAP systems into products and insights; Design and build reports and dashboards in SAP Analytics Cloud; Safeguard data quality, performance, and usability; Partner with business to turn requirements into robust technical solutions.

Seniority

Mid-level, hands-on IC

Rewrite
## Responsibilities - Develop data models, transformations and integrations in SAP Datasphere and SAP Business Data Cloud (BDC). - Integrate and deliver SAP data into CAP, our Azure data platform, ensuring it is reliable, well-structured and ready for downstream analytics and AI/ML use. - Refine data from SAP systems – ideally S/4HANA – into products and insights that drive real business value. - Design and build engaging reports and dashboards in SAP Analytics Cloud (SAC) that make data accessible and easy to understand. - Safeguard data quality, performance and usability across the full data flow. - Partner with the business to turn requirements into robust, scalable technical solutions, and contribute across the whole development lifecycle – testing, troubleshooting and deployment included. ## Requirements - Have experience developing and optimising data solutions in SAP Datasphere, SAP HANA or SAP BW. - Have a solid command of SQL, data integration and data modelling, with an eye for quality and performance in data flows. - Understand ETL processes and how to extract, transform and load data efficiently and reliably. - Know CDS (Core Data Services) and how CDS views are designed for flexible, high-performance models. - Are comfortable refining data from SAP source systems (ideally S/4HANA) into insights that support the business. - Have experience building reports and dashboards in SAP Analytics Cloud. - Can communicate and collaborate effectively in cross-functional teams, discussing solutions with both technical specialists and non-technical stakeholders. ## Nice to Have - Have hands-on experience with SAP Business Data Cloud (BDC). - Have worked with cloud data platforms – preferably Azure (e.g. Databricks, data lake / medallion architecture) and understand how SAP and cloud estates connect. - Have familiarity with core SAP S/4 business processes (sales, purchasing, inventory, finance). - Have worked with DevOps and agile delivery. ## Benefits - Join a culture defined by humility, initiative and strong values, where we take joint responsibility and genuinely want to help each other succeed. - Modern work environment with great transport links, a fantastic staff restaurant, and the option of hybrid work in agreement with your manager. - Work in a stable, long-term industry, essential to the transition toward a greener, more sustainable future. - Be part of a cooperative with over 4 million members, focusing heavily on sustainability and creating a greener and more just future. - A diverse workplace that values different perspectives and experiences, promoting inclusivity and success.
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